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Data Engineer (Azure, SQL/ETL/BI)

Initialize IT

Posted on Nov 4, 2022 by Initialize IT

London, United Kingdom
IT
Immediate Start
Annual Salary
Full-Time

Global client requires a Data Engineer to join a prestigious Business Intelligence organisation.

Knowledge and experience

  • 2/3 years of SQL experience (No-SQL and/or Snowflake experience is a plus).
  • Experience with schema design and dimensional Datamodelling.
  • Ability in managing and communicating data warehouse plans to internal clients.
  • Experience designing, building, and maintaining data processing systems.
  • Experience with Azure cloud services: Data factory/Functions/DevOps.

Technical and other skills

  • Experience of Microsoft Azure data stack.
  • Excellent ETL skills.
  • Experience of BI reporting tools.
  • Experience in TSQL Scripting and writing stored procedures.
  • Fluent written and spoken English.

Key responsibilities and accountabilities.

  • Develop and maintain scalable data pipelines to support continuing increases in data volume and complexity as well as and maintain optimal data pipeline architecture.
  • Perform data analysis required to troubleshoot data related issues and assist in the resolution of data issues.
  • Identify, design and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Azure technologies.
  • Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
  • Collaborate with business teams to improve data models that feed Business Intelligence tools, increasing data accessibility, and fostering data-driven decision making across the organization.
  • Works closely with a team of Front End and Back End developers, product managers, and analysts.
  • Contribute to engineering wiki, and documents work. Work with stakeholders including the Product Development and Business teams to assist with data-related technical issues and to strive for greater functionality in our data systems.

Excellent opportunity. Interview slots to fill.

Reference: 1782122438

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